Facebook, Inc.

Meta Platforms, Inc.

Omid Aziz

Robert Michael Baldwin

Henry Bridge

Bradley Wu

Matthew Ethan Warshauer

Yuankai Ge

Devin James Naquin

Michael Benjamin Nowak

Evan Gabriel Brooks

Xiao Liang

Genevieve Williams

Jonathan B Gheller

Tony Hsien-yu Liu

Ajay Ramamurthy

Preeti Arunapuram

Zhenhuan Zhou

John Jarman Rogers, Jr

Stefanie Lynn Ostrowski

Devin Naquin

Brady R Lauback

A social networking system suggests events for a target user based on stored data in the social networking system related to the target user and to events. The social networking system may suggest events based on the target user's affinity for, connections with, or interactions with objects in the social networking system connected to or otherwise associated with the events. For example, an event is suggested to a target user if users connected to the target user already accepted an invitation to the event. As another example, an event organized by a particular entity is suggested to the target user because of interactions between the target user and other content provided by the entity. Invitations to suggested events may be presented to the target user via a client device, allowing the target user to easily join a suggested event.

Generating event suggestions for users from social information

Systems, methods, and non-transitory computer-readable media can determine one or more social networking system anniversary events associated with a first user, the anniversary event having a month and a day that is identical to the current month and day. The one or more anniversary events are filtered using filtering criteria. An indication, such as a notification or a promotion, relating to the one or more anniversary events is generated based on satisfaction of the filtering criteria.

Systems and methods for providing anniversary information

In one embodiment, a method includes retrieving a previous communication associated with a user on an online social network, the previous communication having been made on a date in the past; calculating a distribution-probability score for the previous communication reflecting a probability that the previous communication will be shared on the online social network by the user; and sending the previous communication to the user, wherein the distribution-probability score for the previous communication satisfies a threshold.

Promoting social memories on online social networks

Growing community of inventors

Brooklyn, NY, United States of America

Omid Aziz